{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T17:24:27Z","timestamp":1791566667037,"version":"4.3.4"},"reference-count":30,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2024,12,10]],"date-time":"2024-12-10T00:00:00Z","timestamp":1733788800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of High Speed Networks"],"published-print":{"date-parts":[[2025,2]]},"abstract":"<jats:p>With the growing adoption of Internet of Things (IoT) devices, security concerns are becoming increasingly urgent. Protecting IoT systems from cyberattacks is crucial to safeguard sensitive information. Spoofing, particularly Domain Name System (DNS) and Address Resolution Protocol (ARP) spoofing, is a type of attack that can manipulate network traffic and compromise data integrity. DNS spoofing redirects users to fraudulent websites by altering domain name resolutions, while ARP spoofing tricks the network by associating a legitimate internet protocol address with a malicious MAC address, allowing attackers to intercept or modify communication. This study aims to develop an efficient method for detecting these types of spoofing attacks in IoT environments using machine learning techniques. The results show that the random forest algorithm outperforms other models, achieving remarkable performance with a 95.1% accuracy, a precision score of 95.2%, and a strong F1 score of 95.1%. A key contribution of this research is the simultaneous detection of both DNS and ARP spoofing within a unified framework, utilizing a comprehensive set of 46 features. These findings underscore the importance of ensuring robust protection against spoofing attacks to maintain the security and integrity of IoT systems.<\/jats:p>","DOI":"10.1177\/09266801241295886","type":"journal-article","created":{"date-parts":[[2024,12,10]],"date-time":"2024-12-10T06:10:21Z","timestamp":1733811021000},"page":"61-70","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":14,"title":["Identify spoofing attacks in Internet of Things (IoT) environments using machine learning algorithms"],"prefix":"10.1177","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2717-9253","authenticated-orcid":false,"given":"Vajratiya","family":"Vajrobol","sequence":"first","affiliation":[{"name":"Institute of Informatics and Communication, University of Delhi, New Delhi, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Geetika Jain","family":"Saxena","sequence":"additional","affiliation":[{"name":"Department of Electronics, Maharaja Agrasen College, University of Delhi, New Delhi, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amit","family":"Pundir","sequence":"additional","affiliation":[{"name":"Department of Electronics, Maharaja Agrasen College, University of Delhi, New Delhi, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sanjeev","family":"Singh","sequence":"additional","affiliation":[{"name":"Institute of Informatics and Communication, University of Delhi, New Delhi, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brij","family":"B. Gupta","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Information Engineering, Asia University, Taichung, Taiwan"},{"name":"Center for Interdisciplinary Research, University of Petroleum and Energy Studies (UPES), Dehradun, India"},{"name":"UCRD, Chandigarh University, Chandigarh, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Akshat","family":"Gaurav","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Ronin Institute, Montclair, NJ, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mosiur","family":"Rahaman","sequence":"additional","affiliation":[{"name":"International Center for AI and Cyber Security Research and Innovations, Asia University, Taichung, 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